Identifying TP53 mutation carrier is critical to people with Li-Fraumeni syndrome for cancer prevention and survival improvement. A new method is needed for clinical counselors because of the limitations of current clinical criteria. LFSpro is built on a Mendelian model and estimates the TP53 mutation probability through Elston-Stewart algorithm with accuracy. Unlike previously used models, our model incorporates de novo mutation rate, which greatly improved estimation accuracy.
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